Image Retrieval Task
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An Image Retrieval Task is an information retrieval task that is restricted to image files.
- Context:
- It can be supported by Visual Entity Recognition.
- …
- Example(s):
- retrieve all images with zebras or with shoes.
- …
- Counter-Example(s):
- See: Digital Image, Photo Caption, Automatic Image Annotation.
References
2017
- (Wikipedia, 2017) ⇒ https://en.wikipedia.org/wiki/image_retrieval Retrieved:2017-6-2.
- An image retrieval system is a computer system for browsing, searching and retrieving images from a large database of digital images. Most traditional and common methods of image retrieval utilize some method of adding metadata such as captioning', keywords, or descriptions to the images so that retrieval can be performed over the annotation words. Manual image annotation is time-consuming, laborious and expensive; to address this, there has been a large amount of research done on automatic image annotation. Additionally, the increase in social web applications and the semantic web have inspired the development of several web-based image annotation tools.
The first microcomputer-based image database retrieval system was developed at MIT, in the 1990s, by Banireddy Prasaad, Amar Gupta, Hoo-min Toong, and Stuart Madnick. A 2008 survey article documented progresses after 2007.
- An image retrieval system is a computer system for browsing, searching and retrieving images from a large database of digital images. Most traditional and common methods of image retrieval utilize some method of adding metadata such as captioning', keywords, or descriptions to the images so that retrieval can be performed over the annotation words. Manual image annotation is time-consuming, laborious and expensive; to address this, there has been a large amount of research done on automatic image annotation. Additionally, the increase in social web applications and the semantic web have inspired the development of several web-based image annotation tools.
2009
- (Ménard, 2009) ⇒ Elaine Ménard. (2009). “Ordinary Image Retrieval in a multilingual context: a comparison of two indexing vocabularies.” In: Proceedings of ISKO UK 2009 Conference.